Malaysia Weather MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Malaysia Weather as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Malaysia Weather. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Malaysia Weather?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Malaysia Weather MCP Server
The Malaysia Weather MCP Server provides direct, zero-auth access to the official Malaysian Meteorological Department (MET Malaysia) data feed — the authoritative source for tropical climate intelligence across the Malay Peninsula, Sabah, and Sarawak.
LlamaIndex agents combine Malaysia Weather tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
Core Capabilities
- 7-Day Tropical Forecast — Detailed morning, afternoon, and night weather predictions for every state, district, town, and recreation area in Malaysia. Temperature ranges included.
- Severe Weather Warnings — Active official alerts for heavy rain, strong winds, thunderstorms, and dangerous sea conditions. Bilingual content in English and Bahasa Melayu.
- Earthquake Alerts — Real-time seismic events detected in the Southeast Asian region, including distance measurements from the nearest Malaysian territory.
- Automatic Translation — All Malay-language forecast conditions are automatically translated to English for global accessibility.
The Malaysia Weather MCP Server exposes 3 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Malaysia Weather to LlamaIndex via MCP
Follow these steps to integrate the Malaysia Weather MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from Malaysia Weather
Why Use LlamaIndex with the Malaysia Weather MCP Server
LlamaIndex provides unique advantages when paired with Malaysia Weather through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Malaysia Weather tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Malaysia Weather tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Malaysia Weather, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Malaysia Weather tools were called, what data was returned, and how it influenced the final answer
Malaysia Weather + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Malaysia Weather MCP Server delivers measurable value.
Hybrid search: combine Malaysia Weather real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Malaysia Weather to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Malaysia Weather for fresh data
Analytical workflows: chain Malaysia Weather queries with LlamaIndex's data connectors to build multi-source analytical reports
Malaysia Weather MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Malaysia Weather to LlamaIndex via MCP:
get_malaysia_earthquakes
Includes magnitude, depth, coordinates, and distance from nearest Malaysian location. Get recent earthquake alerts reported by MET Malaysia for the Southeast Asian region
get_malaysia_forecast
Forecasts include morning, afternoon, and night conditions with temperature ranges. You can filter by location name (e.g. Kuala Lumpur, Langkawi, Penang, Johor Bahru, Kota Kinabalu). All Malay forecast terms are automatically translated to English. Get the 7-day weather forecast for locations across Malaysia
get_malaysia_warnings
Bilingual content available in English and Bahasa Melayu. Get active weather warnings issued by MET Malaysia
Example Prompts for Malaysia Weather in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Malaysia Weather immediately.
"What's the weather forecast for Kuala Lumpur this week?"
"Are there any earthquake alerts near Malaysia right now?"
Troubleshooting Malaysia Weather MCP Server with LlamaIndex
Common issues when connecting Malaysia Weather to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMalaysia Weather + LlamaIndex FAQ
Common questions about integrating Malaysia Weather MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Malaysia Weather with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Malaysia Weather to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.